CN113112810A - Traffic control method and device based on big data - Google Patents
Traffic control method and device based on big data Download PDFInfo
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- CN113112810A CN113112810A CN202110449360.XA CN202110449360A CN113112810A CN 113112810 A CN113112810 A CN 113112810A CN 202110449360 A CN202110449360 A CN 202110449360A CN 113112810 A CN113112810 A CN 113112810A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
Abstract
The embodiment of the invention provides a traffic control method and a traffic control device based on big data, wherein the method comprises the following steps: obtaining travel user information in a large database, and obtaining a target travel plan of a user in a festival according to the travel user information; performing road condition simulation on the expressway according to the target trip plan; when the simulated traffic flow exceeds a traffic flow threshold, sending a congestion prediction result to a corresponding user terminal; when time adjustment information for the target trip plan sent by the user terminal is received, the target trip plan is adjusted, and road condition simulation is carried out according to the adjusted target trip plan; and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the traffic frequency of the expressway. By adopting the method, the user can know the congestion condition of the preset target trip plan, the user can conveniently adjust the target trip plan, the traffic pressure of a highway during holidays is relieved, and the trip experience of the user is also improved.
Description
Technical Field
The invention relates to the technical field of traffic control, in particular to a traffic control method and device based on big data.
Background
With the development of social economy and automobile manufacturing, private cars of citizens are more and more popular, more and more citizens give up public transportation means when going out, and the private cars are selected for going out, so that pressure is increased for the current transportation system, and the traffic management department also meets the ever-increasing traffic demands by building road facilities in a large scale.
However, congestion still occurs on the expressway, particularly, large-scale congestion becomes a normal state during holidays, and one reason for the situation is that some car owners do not know that serious congestion occurs on the current road in the current time period, and only a trip is selected when a holiday starts, so that large-scale congestion is caused, the trip time of a user is delayed, and the trip experience of the user is influenced.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a traffic control method and device based on big data.
The embodiment of the invention provides a traffic control method based on big data, which comprises the following steps:
when the current time is detected to enter the countdown of a festival, obtaining the travel user information in a large database, and obtaining a target travel plan of the user in the festival according to the travel user information;
performing road condition simulation on the expressway according to the target travel plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not;
when the simulated traffic volume exceeds a traffic volume threshold value, sending the target trip plan and a congestion prediction result to a corresponding user terminal according to the trip user information;
when time adjustment information for the target trip plan sent by a user terminal is received, adjusting the target trip plan according to the time adjustment information, performing road condition simulation on an expressway according to the adjusted target trip plan, and judging whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway;
and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the vehicle passing frequency of the expressway.
In one embodiment, the method further comprises:
acquiring historical travel routes of the user on the same festival in the past year according to the travel user information;
and when the historical travel routes are the same, determining a target travel plan of the user in the festival according to the historical travel routes.
In one embodiment, the method further comprises:
acquiring historical travel routes of the user on the same festival in the past year according to the travel user information;
when the historical travel routes are different, obtaining a search city of the user in a preset time period in a large database, determining a possible destination of the user according to the search city, and determining a target travel plan of the user in the festival according to the possible destination.
In one embodiment, the method further comprises:
when the possible destinations comprise a plurality of cities, determining possible routes of the user according to the possible destinations, and acquiring congestion conditions of the possible routes on the same festival in the past year;
and sending the congestion condition of the same festival of the possible route in the past year and a destination determination request to the user terminal.
In one embodiment, the method further comprises:
calculating a difference value between the simulated traffic flow and the vehicle quantity threshold value, and predicting the congestion time of the target trip plan according to the difference value to obtain a congestion time prediction result;
and sending the target trip plan and the congestion time prediction result to a corresponding user terminal.
In one embodiment, the method further comprises:
and calculating a traffic flow difference value between the adjusted simulated traffic flow and the vehicle quantity threshold value, and managing and controlling the vehicle passing frequency of the expressway according to the traffic flow difference value.
The embodiment of the invention provides a traffic control device based on big data, which comprises:
the system comprises a detection module, a data processing module and a data processing module, wherein the detection module is used for acquiring travel user information in a large database when detecting that the current time enters the countdown of a festival, and acquiring a target travel plan of a user in the festival according to the travel user information;
the simulation module is used for carrying out road condition simulation on the expressway according to the target travel plan and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not;
the transmitting module is used for transmitting the target trip plan and the congestion prediction result to a corresponding user terminal according to the trip user information when the simulated traffic volume exceeds a traffic volume threshold;
the adjusting module is used for adjusting the target trip plan according to the time adjusting information when receiving the time adjusting information of the target trip plan sent by the user terminal, carrying out road condition simulation on the expressway according to the adjusted target trip plan, and judging whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway or not;
and the management and control module is used for managing and controlling the vehicle passing frequency of the expressway when the adjusted simulated vehicle flow exceeds a vehicle flow threshold value.
In one embodiment, the apparatus further comprises:
the obtaining module is used for obtaining historical travel routes of the user on the same holiday in the past year according to the travel user information;
and the route determining module is used for determining a target travel plan of the user in the festival according to the historical travel route when the historical travel routes are the same.
The embodiment of the invention provides electronic equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the traffic control method based on big data.
An embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above-mentioned traffic control method based on big data.
According to the traffic control method and device based on the big data, provided by the embodiment of the invention, when the countdown that the current time enters a festival is detected, the travel user information in the big database is obtained, and the target travel plan of the user in the festival is obtained according to the travel user information; performing road condition simulation on the expressway according to the target trip plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not; when the simulated traffic volume exceeds a traffic volume threshold value, sending a target trip plan and a congestion prediction result to a corresponding user terminal according to trip user information; when time adjustment information for the target trip plan sent by a user terminal is received, the target trip plan is adjusted according to the time adjustment information, road condition simulation is carried out on the expressway according to the adjusted target trip plan, and whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway is judged; and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the traffic frequency of the expressway. Therefore, the user can know the congestion condition of the preset target trip plan, the user can conveniently adjust the target trip plan, the traffic pressure of the highway during holidays is relieved, and the trip experience of the user is also improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a traffic control method based on big data according to an embodiment of the present invention;
FIG. 2 is a block diagram of a traffic control device based on big data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a traffic control method based on big data according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a traffic control method based on big data, including:
step S101, when it is detected that the current time enters the countdown of the festival, the travel user information in the big database is obtained, and the target travel plan of the user in the festival is obtained according to the travel user information.
Specifically, when it is detected that the current time period enters a countdown of a festival, the festival may be, for example, a festival such as a Ming festival, a labor festival, a national day festival, a spring festival, and the like, when the current time period enters the countdown of the festival, for example, the first 3 days before a legal festival and a holiday leave, the travel user information in the big data is acquired, the travel user information is acquired according to the historical travel record of the user in the travel big data in the past year, for example, the user travels in the national day festival in the past year, the information of the travel user is acquired according to the travel record of the user in the past year, and it is presumed that the user in the present year also travels in the national day festival, and the target travel plan of the user in the festival is acquired according to the information of the.
And S102, performing road condition simulation on the expressway according to the target travel plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway.
Specifically, after a target travel plan of a user traveling on a holiday is acquired, road condition simulation is performed on an expressway according to the target travel plan, whether the simulated traffic flow after the road condition simulation is performed on the user traveling exceeds a preset traffic flow threshold value of the expressway is judged, and whether congestion is caused by the target travel plan corresponding to the user traveling is predicted.
Step S103, when the simulated traffic volume exceeds a traffic volume threshold value, the target trip plan and the congestion prediction result are sent to the corresponding user terminal according to the trip user information.
Specifically, when the simulated traffic exceeds the traffic threshold, which indicates that the expressway is congested according to the prediction result, the target travel plan and the congestion prediction result are sent to the corresponding user terminal according to the travel user information, where the congestion prediction result may also include prediction of congestion time, and after the congestion time prediction result is obtained by calculating a difference between the simulated traffic and the traffic threshold, predicting the congestion time of the target travel plan according to the difference, the prediction result may be sent to the user, for example: according to the travel plan subscribed by you: in the line of spring festival from Beijing to Shanghai's home, you may be jammed more than 5 hours at XX high speed in X month and X day. Therefore, the trip user can know the target trip plan and the congestion result of the target trip plan.
And step S104, when receiving time adjustment information of the target travel plan sent by the user terminal, adjusting the target travel plan according to the time adjustment information, performing road condition simulation on the expressway according to the adjusted target travel plan, and judging whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway.
Specifically, when time adjustment information of a target trip plan sent by a user terminal is received, it is stated that the user terminal receives a congestion prediction result of the target trip plan, and after the user knows the congestion result, part of the users adjust the time of the trip plan in order to avoid a peak period of congestion, the target trip plan is adjusted according to the time adjustment information sent by the user terminal, road condition simulation is performed on a highway again according to the adjusted target trip plan, and whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the highway is judged, namely whether the trip user can cause congestion after adjusting the target trip plan is predicted.
And S105, when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the vehicle passing frequency of the expressway.
Specifically, when the adjusted simulated traffic flow exceeds the traffic flow threshold, which indicates that congestion still occurs after the target trip plan of the user is adjusted, the vehicle passing frequency of the expressway is controlled, and a specific control method may be: and calculating a traffic flow difference value between the adjusted simulated traffic flow and the vehicle quantity threshold value, and managing and controlling the vehicle passing frequency of the expressway according to the traffic flow difference value.
According to the traffic control method based on the big data, provided by the embodiment of the invention, when the countdown that the current time enters a festival is detected, the travel user information in the big database is obtained, and the target travel plan of the user in the festival is obtained according to the travel user information; performing road condition simulation on the expressway according to the target trip plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not; when the simulated traffic volume exceeds a traffic volume threshold value, sending a target trip plan and a congestion prediction result to a corresponding user terminal according to trip user information; when time adjustment information for the target trip plan sent by a user terminal is received, the target trip plan is adjusted according to the time adjustment information, road condition simulation is carried out on the expressway according to the adjusted target trip plan, and whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway is judged; and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the traffic frequency of the expressway. Therefore, the user can know the congestion condition of the preset target trip plan, the user can conveniently adjust the target trip plan, the traffic pressure of the highway during holidays is relieved, and the trip experience of the user is also improved.
On the basis of the above embodiment, the traffic control method based on big data further includes:
acquiring historical travel routes of the user on the same festival in the past year according to the travel user information;
and when the historical travel routes are the same, determining a target travel plan of the user in the festival according to the historical travel routes.
In the embodiment of the invention, as for the target travel plan of the user in the festival, the historical travel routes of the user in the same festival in the past year in the large database can be obtained, for example, the target travel plan of the user in the spring festival is predicted, the historical travel routes of the user in the spring festival in the past year can be obtained and compared, when the historical travel routes are the same, the user has the same travel plan in the same festival every year, for example, the situation that the user returns home in the spring festival, makes a morning sacrifice and the like, and the target travel plan of the user in the same festival in the present year is determined according to the historical travel routes.
In addition, when it is detected that historical travel routes of the user on the same holiday in the past year are different, it is indicated that the user may have travel plans in the past year, but destinations are different, for example, travel is carried out, a search city of the user in a large database in a preset time period is obtained, for example, a city searched by the user in a search engine in a week before the holiday is obtained through the large database, a possible destination of the user is determined according to the city searched by the user, and a target travel plan of the user on the holiday is determined according to the possible destination.
In addition, when the possible destination comprises a plurality of cities, a plurality of possible routes for the user to travel are determined according to the possible destination, the congestion conditions of the possible routes in the same festival in the past year are obtained, for example, if the possible destination of the user comprises Shanghai and Guangzhou, the congestion conditions of the possible routes in the same festival in the past year from Beijing (the location of the user) to Shanghai and from Beijing to Guangzhou are obtained, and the congestion conditions of the possible routes in the same festival in the past year and a destination determination request are sent to the user terminal, so that the user can know the congestion conditions in the past year while confirming the destination.
The embodiment of the invention determines the target travel plan of the user in the holiday through the large database, ensures the accuracy of determining the target travel plan of the user, and further improves the authenticity of simulating the traffic flow of the holiday in the follow-up process.
Fig. 2 is a traffic control device based on big data according to an embodiment of the present invention, which includes: the device comprises a detection module S201, a simulation module S202, a sending module S203, an adjustment module S204 and a management and control module S205, wherein:
the detection module S201 is configured to, when it is detected that the current time enters the countdown of a holiday, obtain travel user information in the big database, and obtain a target travel plan of the user at the holiday according to the travel user information.
And the simulation module S202 is used for performing road condition simulation on the expressway according to the target travel plan and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway.
A sending module S203, configured to send the target trip plan and the congestion prediction result to a corresponding user terminal according to the trip user information when the simulated traffic volume exceeds a traffic volume threshold.
And the adjusting module S204 is configured to, when receiving time adjustment information for the target trip plan sent by the user terminal, adjust the target trip plan according to the time adjustment information, perform road condition simulation on the highway according to the adjusted target trip plan, and determine whether the adjusted simulated traffic flow exceeds a traffic flow threshold preset for the highway.
And the management and control module S205 is configured to manage and control the vehicle passing frequency of the expressway when the adjusted simulated vehicle flow exceeds a vehicle flow threshold.
In one embodiment, the apparatus may further comprise:
and the acquisition module is used for acquiring the historical travel route of the user on the same holiday in the next year according to the travel user information.
And the route determining module is used for determining a target travel plan of the user in the festival according to the historical travel route when the historical travel routes are the same.
In one embodiment, the apparatus may further comprise:
and the second acquisition module is used for acquiring the historical travel route of the user on the same holiday in the next year according to the travel user information.
A third obtaining module, configured to obtain a search city of the user in a preset time period in a large database when the historical travel routes are different, determine a possible destination of the user according to the search city, and determine a target travel plan of the user on the holiday according to the possible destination.
In one embodiment, the apparatus may further comprise:
and the possible route determining module is used for determining the possible route of the user according to the possible destination and acquiring the congestion condition of the possible route on the same festival in the past year when the possible destination comprises a plurality of cities.
And the second sending module is used for sending the congestion condition of the possible route on the same holiday in the previous year and a destination determination request to the user terminal.
In one embodiment, the apparatus may further comprise:
and the calculation module is used for calculating a difference value between the simulated traffic flow and the vehicle quantity threshold value, and predicting the congestion time of the target trip plan according to the difference value to obtain a congestion time prediction result.
And the second sending module is used for sending the target trip plan and the congestion time prediction result to a corresponding user terminal.
In one embodiment, the apparatus may further comprise:
and the second calculation module is used for calculating a traffic flow difference value between the adjusted simulated traffic flow and the vehicle amount threshold value and managing and controlling the vehicle passing frequency of the expressway according to the traffic flow difference value.
For specific definition of the traffic control device based on big data, reference may be made to the above definition of the traffic control method based on big data, which is not described herein again. The modules in the big data based traffic control device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: when the current time is detected to enter the countdown of the festival, obtaining the travel user information in the large database, and obtaining a target travel plan of the user in the festival according to the travel user information; performing road condition simulation on the expressway according to the target trip plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not; when the simulated traffic volume exceeds a traffic volume threshold value, sending a target trip plan and a congestion prediction result to a corresponding user terminal according to trip user information; when time adjustment information for the target trip plan sent by a user terminal is received, the target trip plan is adjusted according to the time adjustment information, road condition simulation is carried out on the expressway according to the adjusted target trip plan, and whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway is judged; and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the traffic frequency of the expressway.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: when the current time is detected to enter the countdown of the festival, obtaining the travel user information in the large database, and obtaining a target travel plan of the user in the festival according to the travel user information; performing road condition simulation on the expressway according to the target trip plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not; when the simulated traffic volume exceeds a traffic volume threshold value, sending a target trip plan and a congestion prediction result to a corresponding user terminal according to trip user information; when time adjustment information for the target trip plan sent by a user terminal is received, the target trip plan is adjusted according to the time adjustment information, road condition simulation is carried out on the expressway according to the adjusted target trip plan, and whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway is judged; and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the traffic frequency of the expressway.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A traffic control method based on big data is characterized by comprising the following steps:
when the current time is detected to enter the countdown of a festival, obtaining the travel user information in a large database, and obtaining a target travel plan of the user in the festival according to the travel user information;
performing road condition simulation on the expressway according to the target travel plan, and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not;
when the simulated traffic volume exceeds a traffic volume threshold value, sending the target trip plan and a congestion prediction result to a corresponding user terminal according to the trip user information;
when time adjustment information for the target trip plan sent by a user terminal is received, adjusting the target trip plan according to the time adjustment information, performing road condition simulation on an expressway according to the adjusted target trip plan, and judging whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway;
and when the adjusted simulated traffic flow exceeds a traffic flow threshold, managing and controlling the vehicle passing frequency of the expressway.
2. The big data-based traffic control method according to claim 1, wherein the obtaining of the target travel plan of the user in the holiday according to the travel user information comprises:
acquiring historical travel routes of the user on the same festival in the past year according to the travel user information;
and when the historical travel routes are the same, determining a target travel plan of the user in the festival according to the historical travel routes.
3. The big data-based traffic control method according to claim 1, wherein the obtaining of the target travel plan of the user in the holiday according to the travel user information comprises:
acquiring historical travel routes of the user on the same festival in the past year according to the travel user information;
when the historical travel routes are different, obtaining a search city of the user in a preset time period in a large database, determining a possible destination of the user according to the search city, and determining a target travel plan of the user in the festival according to the possible destination.
4. The big data based traffic control method according to claim 3, further comprising:
when the possible destinations comprise a plurality of cities, determining possible routes of the user according to the possible destinations, and acquiring congestion conditions of the possible routes on the same festival in the past year;
and sending the congestion condition of the same festival of the possible route in the past year and a destination determination request to the user terminal.
5. The big data-based traffic control method according to claim 1, wherein the sending of the target travel plan and the congestion prediction result to the corresponding user terminal includes:
calculating a difference value between the simulated traffic flow and the vehicle quantity threshold value, and predicting the congestion time of the target trip plan according to the difference value to obtain a congestion time prediction result;
and sending the target trip plan and the congestion time prediction result to a corresponding user terminal.
6. The big data based traffic control method according to claim 1, wherein the controlling of the vehicle passing frequency of the expressway comprises:
and calculating a traffic flow difference value between the adjusted simulated traffic flow and the vehicle quantity threshold value, and managing and controlling the vehicle passing frequency of the expressway according to the traffic flow difference value.
7. A big data-based traffic control apparatus, the apparatus comprising:
the system comprises a detection module, a data processing module and a data processing module, wherein the detection module is used for acquiring travel user information in a large database when detecting that the current time enters the countdown of a festival, and acquiring a target travel plan of a user in the festival according to the travel user information;
the simulation module is used for carrying out road condition simulation on the expressway according to the target travel plan and judging whether the simulated traffic flow of the road condition simulation exceeds a preset traffic flow threshold value of the expressway or not;
the transmitting module is used for transmitting the target trip plan and the congestion prediction result to a corresponding user terminal according to the trip user information when the simulated traffic volume exceeds a traffic volume threshold;
the adjusting module is used for adjusting the target trip plan according to the time adjusting information when receiving the time adjusting information of the target trip plan sent by the user terminal, carrying out road condition simulation on the expressway according to the adjusted target trip plan, and judging whether the adjusted simulated traffic flow exceeds a preset traffic flow threshold value of the expressway or not;
and the management and control module is used for managing and controlling the vehicle passing frequency of the expressway when the adjusted simulated vehicle flow exceeds a vehicle flow threshold value.
8. The big data-based traffic management and control apparatus according to claim 7, further comprising:
the obtaining module is used for obtaining historical travel routes of the user on the same holiday in the past year according to the travel user information;
and the route determining module is used for determining a target travel plan of the user in the festival according to the historical travel route when the historical travel routes are the same.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the big data based traffic control method according to any of claims 1 to 6.
10. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the big data based traffic control method according to any of claims 1 to 6.
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